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多个转录本中包含的外显子存在丰富的临床变异。

Abundance of clinical variants in exons included in multiple transcripts.

机构信息

GeneCology Research Centre, The University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Qld, 4556, Australia.

出版信息

Hum Genomics. 2018 Jun 28;12(1):33. doi: 10.1186/s40246-018-0166-2.

DOI:10.1186/s40246-018-0166-2
PMID:29954439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6025840/
Abstract

Previous studies showed that the magnitude of selection pressure in constitutive exons is higher than that in alternatively spliced exons. The intensity of selection was also shown to be depended on the inclusion level of exons: the number of transcripts that include an exon. Here, we examined how the difference in selection pressure influences the patterns of clinical variants in human exons. Our analysis revealed a positive relationship between exon inclusion level and the abundance of pathogenic variants. The proportion of pathogenic variants in the exons that are included in > 10 transcripts was 6.8 times higher than those in the exons included in only one transcript. This suggests that the mutations occurring in the exons included in multiple transcripts are more deleterious than those present in the exons included in one transcript. The findings of this study highlight that the exon inclusion level could be used to predict the mutations associated with diseases.

摘要

先前的研究表明,组成性外显子中的选择压力幅度高于选择性剪接外显子。选择的强度还取决于外显子的包含水平:包含外显子的转录本数量。在这里,我们研究了选择压力的差异如何影响人类外显子中临床变异的模式。我们的分析揭示了外显子包含水平与致病性变异体丰度之间存在正相关关系。在包含>10 个转录本的外显子中,致病性变异体的比例比仅包含一个转录本的外显子高 6.8 倍。这表明,在包含多个转录本的外显子中发生的突变比在包含一个转录本的外显子中发生的突变更具破坏性。本研究的结果强调,外显子包含水平可用于预测与疾病相关的突变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1266/6025840/7dcd7ff158ab/40246_2018_166_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1266/6025840/d57a8cfbe466/40246_2018_166_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1266/6025840/c5076dc2b24a/40246_2018_166_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1266/6025840/7dcd7ff158ab/40246_2018_166_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1266/6025840/d57a8cfbe466/40246_2018_166_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1266/6025840/c5076dc2b24a/40246_2018_166_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1266/6025840/7dcd7ff158ab/40246_2018_166_Fig3_HTML.jpg

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本文引用的文献

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Brain-expressed exons under purifying selection are enriched for de novo mutations in autism spectrum disorder.大脑表达的外显子在净化选择下富集了自闭症谱系障碍中的从头突变。
Nat Genet. 2014 Jul;46(7):742-7. doi: 10.1038/ng.2980. Epub 2014 May 25.
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MutationTaster2: mutation prediction for the deep-sequencing age.MutationTaster2:深度测序时代的突变预测
Nat Methods. 2014 Apr;11(4):361-2. doi: 10.1038/nmeth.2890.
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A general framework for estimating the relative pathogenicity of human genetic variants.一种用于估计人类遗传变异相对致病性的通用框架。
Nat Genet. 2014 Mar;46(3):310-5. doi: 10.1038/ng.2892. Epub 2014 Feb 2.
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Genomewide association studies and assessment of the risk of disease.全基因组关联研究与疾病风险评估
N Engl J Med. 2010 Jul 8;363(2):166-76. doi: 10.1056/NEJMra0905980.
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Single-nucleotide evolutionary constraint scores highlight disease-causing mutations.单核苷酸进化约束分数突出显示致病突变。
Nat Methods. 2010 Apr;7(4):250-1. doi: 10.1038/nmeth0410-250.
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A method and server for predicting damaging missense mutations.一种预测有害错义突变的方法及服务器。
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